Full-Stack Engineer
Cogitait|Posted 19 days ago
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Skills and experience
Location and salary
Role description
Join us at the forefront of AI innovation, where you'll build sophisticated applications combining LLM agents with powerful data science capabilities. You'll be working on Carys and related platforms, creating intuitive interfaces for exploring complex datasets and developing intelligent backend systems that power our multi-agent orchestration.
In this fast-paced role, you'll tackle genuinely complex problems, architecting solutions that drive millions in business value for data scientists and enterprise clients. You'll build LLM-powered agent systems for automated data analysis and code generation, create interactive data visualization tools, develop scalable backend services for enterprise-grade data pipelines, and design intelligent orchestration platforms coordinating multiple AI agents.
We're seeking developers with at least five years of experience who are comfortable with the entire stack. You should have Python mastery, TypeScript/React expertise, and experience with complex systems. Self-motivation is key, as you'll be expected to identify and solve problems independently. Additional valuable skills include LLM application experience, AWS deployment, DevOps practices, data engineering, and AI/ML model integration. If you're an experienced developer who thrives on autonomy and is excited by AI's potential, we want you on our team!
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About Cogitait
Our Story
Founded in 2024, Cogitait started with a bold idea: make AI accessible to anyone with data and questions to answer. We're a small, energetic team of about 10 data scientists, engineers, and problem-solvers who came together six months ago with fresh funding and a shared mission—to build tools that turn data into insights for real-world challenges.
We're not locked into a single industry. We work with partners across vehicle tracking and driver safety, sports event medical response, environmental conservation monitoring, financial services, telecoms, healthcare, and more. Each project teaches us something new and shapes the platform we're building—one designed to help any organization unlock the value hidden in their data.
If you join us now, you're not just taking a job—you're becoming part of the founding journey.
What We Do
We build AI solutions that help organizations with data get the answers and insights they need—whether that's improving driver safety, optimizing emergency medical response at sporting events, monitoring rainfall patterns for conservation efforts, or solving challenges in financial services and healthcare. Our focus is on practical, impactful AI that solves real problems across diverse industries.
Why Work For Us
You'll be joining at the ground floor of something special. As part of a ~10-person team, you'll have genuine ownership over what we build, direct access to customers and their challenges, and the chance to shape both our product and our culture. This is the rare opportunity to do meaningful AI work in a flat, collaborative environment where your contributions directly impact our trajectory.
Our Culture
We're a startup in the truest sense—small, flat, and moving fast. Every voice matters here. We value autonomy, trust, and ownership, giving team members the freedom to explore ideas and the responsibility to see them through. Our culture thrives on learning together: tackling new domains we've never worked in before, sharing knowledge across disciplines, and celebrating both our wins and our lessons learned.
Our Hiring Process
We keep it simple and respectful of your time—just one conversation to see if we're a good mutual fit. We'll have a relaxed but substantive discussion covering your experience, how you approach problems, what kind of work energizes you, and how you think about building solutions and collaborating in a small team. No live coding exercises or lengthy take-home projects—we trust professionals to demonstrate their abilities through conversation and past experience.
Our goal is for you to leave with a clear sense of who we are, where we're headed, and whether this founding journey feels right for both of us.
Tech Stack
application and data
